Evidence map›Paper›PMID 26269425›Full record

ArticleScientific reports2015

Normal liver enzymes are correlated with severity of metabolic syndrome in a large population based cohort.

Julia Kälsch, Lars P Bechmann, Dominik Heider, Jan Best, Paul Manka, Hagen Kälsch, Jan-Peter Sowa, Susanne Moebus, Uta Slomiany, Karl-Heinz Jöckel and 3 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed
5.7field-weighted citation impact, top 3% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

32 citing papers in PubMed, 81 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Review
  14. Article
  15. Article
  16. Review
  17. Article
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors at 3 institutions in 1 country.

Julia KälschDepartment of Gastroenterology and Hepatology, University Hospital, University Duisburg-Essen.
Lars P BechmannDepartment of Gastroenterology and Hepatology, University Hospital, University Duisburg-Essen.
Dominik HeiderDepartment of Bioinformatics, Straubing Center of Science, University of Applied Science Weihenstephan-Triesdorf.
Jan BestDepartment of Gastroenterology and Hepatology, University Hospital, University Duisburg-Essen.
Paul Manka1] Department of Gastroenterology and Hepatology, University Hospital, University Duisburg-Essen [2] Regeneration and Repair Group, The Institute of Hepatology, Foundation for Liver Research, London, UK.
Hagen KälschDepartment of Cardiology, West-German Heart Center, University Hospital, University Duisburg-Essen.
Jan-Peter SowaDepartment of Gastroenterology and Hepatology, University Hospital, University Duisburg-Essen.
Susanne MoebusInstitute of Medical Informatics, Biometry and Epidemiology, University Hospital, University Duisburg-Essen.
Uta SlomianyInstitute of Medical Informatics, Biometry and Epidemiology, University Hospital, University Duisburg-Essen.
Karl-Heinz JöckelInstitute of Medical Informatics, Biometry and Epidemiology, University Hospital, University Duisburg-Essen.
Raimund ErbelDepartment of Cardiology, West-German Heart Center, University Hospital, University Duisburg-Essen.
Guido GerkenDepartment of Gastroenterology and Hepatology, University Hospital, University Duisburg-Essen.
Ali CanbayDepartment of Gastroenterology and Hepatology, University Hospital, University Duisburg-Essen.
University of Duisburg-Essen · DEWest German Heart and Vascular Center Essen · DEWeihenstephan-Triesdorf University of Applied Sciences · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Key features of the metabolic syndrome are insulin resistance and diabetes. The liver as central metabolic organ is not only affected by the metabolic syndrome as non-alcoholic fatty liver disease (NAFLD), but may contribute to insulin resistance and metabolic alterations. We aimed to identify potential associations between liver injury markers and diabetes in the population-based Heinz Nixdorf RECALL Study. Demographic and laboratory data were analyzed in participants (n = 4814, age 45 to 75 y). ALT and AST values were significantly higher in males than in females. Mean BMI was 27.9 kg/m(2) and type-2-diabetes (known and unkown) was present in 656 participants (13.7%). Adiponectin and vitamin D both correlated inversely with BMI. ALT, AST, and GGT correlated with BMI, CRP and HbA1c and inversely correlated with adiponectin levels. Logistic regression models using HbA1c and adiponectin or HbA1c and BMI were able to predict diabetes with high accuracy. Transaminase levels within normal ranges were closely associated with the BMI and diabetes risk. Transaminase levels and adiponectin were inversely associated. Re-assessment of current normal range limits should be considered, to provide a more exact indicator for chronic metabolic liver injury, in particular to reflect the situation in diabetic or obese individuals.

Indexed as

AdiponectinAgedAlanine TransaminaseAspartate AminotransferasesBiomarkersBody Mass IndexCohort StudiesDiabetes Mellitus, Type 2FemaleGlycated HemoglobinHumansLiverMaleMetabolic SyndromeMiddle AgedROC CurveAdiponectinADIPOQ protein, humanAlanine TransaminaseAspartate AminotransferasesBiomarkersGlycated Hemoglobinhemoglobin A1c protein, humanVitamin D

Identifiers

PMID26269425
PMCPMC4535035
OpenAlexW2413953970

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.